Suggested methodology for longitudinal evaluation of nevi based on clinical images Journal Article


Authors: Reiter, O.; Musthaq, S.; Kurtansky, N. R.; Barrios, D. M.; Halpern, A. C.; Marchetti, M. A.; Marghoob, A. A.; Nanda, J. K.; Stoll, J.; Rotemberg, V.
Article Title: Suggested methodology for longitudinal evaluation of nevi based on clinical images
Abstract: Background: Melanoma screening includes the assessment of changes in melanocytic lesions using images. However, previous studies of normal nevus temporal changes showed variable results and the optimal method for evaluating these changes remains unclear. Our aim was to evaluate the reproducibility of (a) nevus count done at a single time point (method I) versus two time points (method II); and (b) manual and automated nevus diameter measurements. Materials and methods: In a first experiment, participants used either a single time point or a two time point annotation method to evaluate the total number and size of nevi on the back of an atypical mole syndrome patient. A Monte Carlo simulation was used to calculate the variance observed. In a second experiment, manual measurements of nevi on 2D images were compared to an automated measurement on 3D images. Percent difference in the paired manual and automated measurements was calculated. Results: Mean nevus count was 137 in method I and 115.5 in method II. The standard deviation was greater in method I (38.80) than in method II (4.65) (p = 0.0025). Manual diameter measurements had intraclass correlation coefficient of 0.88. The observed mean percent difference between manual and automated diameter measurements was 1.5%. Lightly pigmented and laterally located nevi had a higher percent difference. Conclusions: Comparison of nevi from two different time points is more consistent than nevus count performed separately at each time point. In addition, except for selected cases, automated measurements of nevus diameter on 3D images can be used as a time-saving reproducible substitute for manual measurement on 2D images. © 2021 John Wiley & Sons A/S. Published by John Wiley & Sons Ltd.
Keywords: reproducibility; reproducibility of results; nevus; skin neoplasms; diagnostic imaging; automation; skin tumor; nevus, pigmented; dysplastic nevus; dysplastic nevus syndrome; pigmented nevus; melanocytic lesion; standard deviation; monte carlo methods; humans; human; volume measurement; reproducibilities; annotation methods; automated measurement; diameter measurement; intraclass correlation coefficients; manual measurements
Journal Title: Skin Research and Technology
Volume: 28
Issue: 1
ISSN: 0909-752X
Publisher: Wiley Blackwell  
Date Published: 2022-01-01
Start Page: 71
End Page: 74
Language: English
DOI: 10.1111/srt.13092
PUBMED: 34455638
PROVIDER: scopus
PMCID: PMC9907704
DOI/URL:
Notes: Article -- Export Date: 1 March 2022 -- Source: Scopus
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MSK Authors
  1. Allan C Halpern
    396 Halpern
  2. Ashfaq A Marghoob
    534 Marghoob
  3. Michael Armando Marchetti
    156 Marchetti
  4. Dulce M Barrios
    13 Barrios
  5. Japbani Nanda
    14 Nanda
  6. Joseph Stoll
    12 Stoll
  7. Shenara Musthaq
    10 Musthaq